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http://hdl.handle.net/10553/11278
Title: | A subpixel edge detector applied to aortic dissection detection | Authors: | Trujillo-Pino, A. Krissian, Karl Santana-Cedrés, D. Esclarín Monreal, Julio Carreira-Villamor, José Martín |
UNESCO Clasification: | 220990 Tratamiento digital. Imágenes | Keywords: | Aortic dissection Subpixel edge detection Anisotropic diffusion |
Issue Date: | 2012 | Journal: | Lecture Notes in Computer Science | Conference: | 13th International Conference on Computer Aided Systems Theory (EUROCAST) 13th International Conference on Computer Aided Systems Theory, EUROCAST 2011 |
Abstract: | The aortic dissection is a disease that can cause a deadly situation, even with a correct treatment. It consists in a rupture of a layer of the aortic artery wall, causing a blood flow inside this rupture, called dissection. The aim of this paper is to contribute to its diagnosis, detecting the dissection edges inside the aorta. A subpixel accuracy edge detector based on the hypothesis of partial volume effect is used, where the intensity of an edge pixel is the sum of the contribution of each color weighted by its relative area inside the pixel. The method uses a floating window centred on the edge pixel and computes the edge features. The accuracy of our method is evaluated on synthetic images of different hickness and noise levels, obtaining an edge detection with a maximal mean error lower than 16 percent of a pixel. | URI: | http://hdl.handle.net/10553/11278 | ISBN: | 9783642275784 | ISSN: | 0302-9743 | DOI: | 10.1007/978-3-642-27579-1_28 | Source: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 6928 LNCS, p. 217-224 | Rights: | by-nc-nd |
Appears in Collections: | Actas de congresos |
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